The tech ceos really went off the rails during Covid.

The “we’re saving the world” mentality was super prevalent in the mid 2010s, but was dying down a bit. And I worked for companies that were exactly like WeWork in WeCrashed.

Then Covid happened and they completely lost track of reality.

Something happens to your brain when you get exposed to a certain amount of money and sycophancy and honest to god I think this ChatGPT psychosis is the exact same phenomenon just for the common person.

I liked the look of vista

I’m not excited about ios 26 though.

I guess that’s fair, and I had forgot going to a friends to watch their rentals together.

At least I definitely did not rip rented dvds to my hard drive.

I don’t mind paying for a solid rotation of content to watch, I don’t have to own everything. People were mostly happy with blockbuster’s business model.

The streaming industry is a heaping pile of shit right now though, and everyone is trying to dial us back to the worst of cable again.

That sounds highly probable. Especially the part where they said he can have it forever in the Oval Office. Case closed everyone!

He’s worse than a jaguar owner

That is cool! I’ve been wanting I’ve wanted to use a model like this but haven’t really looked.

Are you self hosting the long context llm, of do what are you using?

Context lengths are what kill a lot of my local llm experiments.

In February when Grok 3 was first on every chatbot arena metric – that was just a bit after deepseek r1, and o3, and the space has evolved a lot since then.

However, checking wikipedia it actually seems like they juiced the metrics by using unfair comparisons and letting Grok try the problems 64 times and returning the best answer in their comparisons.

https://en.wikipedia.org/wiki/Grok_(chatbot)#Grok-3

I’m a bit surprised the grok staff are capable enough to make grok briefly the top rated model, and incompetent enough they don’t know that putting things like this in the prompt poisons the model to always try and be politically incorrect.

LLMs are like Ron Burgundy, if it’s in the prompt they read it. Go fuck yourself XAI.

It’s actually wild that it was the #1 LLM for a while in terms of accuracy and usefulness.

But for whatever reason they seemingly keep fucking around with it for political reasons trying to make it politically agree with Elons stupid politics.

For your database test data, I usually write a helper that defaults those columns to base values, so I can pass in lists of dictionaries, then the test cases are easier to modify and read.

It’s also nice because you’re only including the fields you use in your unit test, the rest are default valid you don’t need to care about.

I don’t know basic solutions that are super good, but whisper sbd the whisper derivatives I hear are decent for dictation these days.

I have no idea how to run then though.

It is truly terrible marketing. It’s been obvious to me for years the value is in giving it to people and enabling them to do more with less, not outright replacing humans, especially not expert humans.

I use AI/LLMs pretty much every day now. I write MCP servers and automate things with it and it’s mind blowing how productive it makes me.

Just today I used these tools in a highly supervised way to complete a task that would have been a full day of tedius work, all done in an hour. That is fucking fantastic, it’s means I get to spend that time on more important things.

It’s like giving an accountant excel. Excel isn’t replacing them, but it’s taking care of specific tasks so they can focus on better things.

On the reliability and accuracy front there is still a lot to be desired, sure. But for supervised chats where it’s calling my tools it’s pretty damn good.

Agents do that loop pretty well now, and Claude now uses your IDE’s LSP to help it code and catch errors in flow. I think Windsurf or Cursor also do that also.

The tooling has improved a ton in the last 3 months.

If possible convert those files to compressed parquet, and apply sorting and partitioning to them.

I’ve gotten 10-100gb csv files down to 300mb-5gb sizes just by doing that

That makes searching and scanning so much faster, and you can do this all with open source free software like polars and ibis.

Visually this is gorgeous

Really nice work!

Those are pretty racist…

Jesus.

At least with AI it’s easy to see how shitty it gets as the codebase grows working on even a toy project over a week.

Then again, if you have no frame of reference maybe that doesn’t feel as awful as it should.

I definitely agree that if the logistics don’t make any sense then you shouldn’t build them there.

~Side note: this is also why I think Florida, Nevada, and Arizona shouldn’t have hockey teams. It’s an affront to nature.~

This looks great.

Lord knows I have to make enough mermaid renderings of these UML diagrams.

Will be giving it a try